Variational Feature Disentangling for Fine-Grained Few-Shot Classification

Fine-grained few-shot recognition often suffers from the problem of training data scarcity for novel categories.The network tends to overfit and does not generalize well to unseen classes due to insufficient training data. Many methods have been proposed to synthesize additional data to support the...

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Hauptverfasser:	Xu, Jingyi, Le, Hieu, Huang, Mingzhen, Athar, ShahRukh, Samaras, Dimitris
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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